Data Science

Job Description

Experience with cloud platforms, Experience with MLOPS , Basic knowledge of deep learning and neural networks. 
(1.) To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.
(2.) To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure succeful delivery of complex projects. 
(3.) To ensure process compliance in the assigned module, and participate in technical discussionsorreview as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
(4.) To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure and closure of escalations.
Python Strong in Data science and Machine Learning , must know time series algos, Anomalies detection and prediction algos like Radom forest isolation, LSTM etc. Strong understanding of frameworks like BERT, GPT or transformer models, Supervised and unsupervised ML techniques, frameworks like TensorFlow, PyTorch, etc,